| 2026 | AAAI | Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling. | Yixin Wu, Feiran Zhang, Tianyuan Shi, Ruicheng Yin, Zhenghua Wang, Zhenliang Gan, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Xuanjing Huang |
| 2026 | ACL | Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction. | Zisu Huang, Muzhao Tian, Xiaohua Wang, Jingwen Xu, Zhengkang Guo, Qi Qian, Kaitao Song, Jiakang Yuan, Changze Lv, Xiaoqing Zheng |
| 2026 | ACL | VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck. | Feiran Zhang, Yixin Wu, Zhenghua Wang, Xiaohua Wang, Changze Lv, Xuanjing Huang, Xiaoqing Zheng |
| 2025 | ACL | Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing. | Wenhao Liu, Siyu An, Junru Lu, Muling Wu, Tianlong Li, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Di Yin, Xing Sun, Xuanjing Huang |
| 2025 | ACL | Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation. | Haozhe Xu, Xiaohua Wang, Changze Lv, Xiaoqing Zheng |
| 2025 | ACL | Improving Continual Pre-training Through Seamless Data Packing. | Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | ACL | DaNet: Dual-Aware Enhanced Alignment Network for Multimodal Aspect-Based Sentiment Analysis. | Aoqiang Zhu, Min Hu, Xiaohua Wang, Jiaoyun Yang, Yiming Tang, Ning An |
| 2025 | ACL | Proxy-Driven Robust Multimodal Sentiment Analysis with Incomplete Data. | Aoqiang Zhu, Min Hu, Xiaohua Wang, Jiaoyun Yang, Yiming Tang, Ning An |
| 2025 | ACL | Multimodal Invariant Sentiment Representation Learning. | Aoqiang Zhu, Min Hu, Xiaohua Wang, Jiaoyun Yang, Yiming Tang, Ning An |
| 2025 | CogSci | SpikeBERT: A Language Understanding Spiking Neural Network Learned from BERT with Knowledge Distillation. | Changze Lv, Tianlong Li, Xiaohua Wang, Muling Wu, Wenhao Liu, Shihan Dou, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | COLING | Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective. | Tianlong Li, Zhenghua Wang, Wenhao Liu, Muling Wu, Shihan Dou, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | DASFAA | REKGC: Learning Re-coupled Representations for Knowledge Graph Completion. | Qingyu Zhang, Min Hu, Wenlong Fei, Xiaohua Wang, Hongbo Li |
| 2025 | EMNLP | UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation. | Tianlong Li, Wenhao Liu, Muling Wu, Shihan Dou, Zhenghua Wang, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | EMNLP | Enhancing Model Privacy in Federated Learning with Random Masking and Quantization. | Zhibo Xu, Jianhao Zhu, Jingwen Xu, Changze Lv, Zhenghua Wang, Zisu Huang, Xiaohua Wang, Muling Wu, Qi Qian, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | ICASSP | SPTU-Lite: An Efficient Auxiliary Diagnostic Approach Combining Spiking Neural Networks And Large Kernel Extractors For ECG Signals. | Chuxuan Shan, Xiaohua Wang, Hang Qi, Qingxu Meng, Jiabao Wang, Weijiang Wang, Yueting Shi |
| 2025 | ICML | Dendritic Localized Learning: Toward Biologically Plausible Algorithm. | Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | ACL | Aligning Large Language Models with Human Preferences through Representation Engineering. | Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | ACL | Advancing Parameter Efficiency in Fine-tuning via Representation Editing. | Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | COLING | MEVTR: A Multilingual Model Enhanced with Visual Text Representations. | Xiaohua Wang, Wenlong Fei, Min Hu, Qingyu Zhang, Aoqiang Zhu |
| 2024 | EMNLP | MTLS: Making Texts into Linguistic Symbols. | Wenlong Fei, Xiaohua Wang, Min Hu, Qingyu Zhang, Hongbo Li |
| 2024 | EMNLP | Searching for Best Practices in Retrieval-Augmented Generation. | Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | EMNLP | Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. | Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | ICIP | Power-Llava: Large Language and Vision Assistant for Power Transmission Line Inspection. | Jiahao Wang, Mingxuan Li, Haichen Luo, Jinguo Zhu, Aijun Yang, Mingzhe Rong, Xiaohua Wang |
| 2023 | CSCWD | A Multi-action Reinforcement Learning Algorithm for Energy-efficiency Blocking Flow-shop Scheduling Problem. | Haizhu Bao, Quanke Pan, Miao Rong, Aolei Yang, Xiaohua Wang |
| 2023 | CVPR | Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. | Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai |
| 2023 | EMNLP | Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. | Xiaohua Wang, Yuliang Yan, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang |
| 2023 | EMNLP | Measure Children's Mindreading Ability with Machine Reading. | Yuliang Yan, Xiaohua Wang, Xiang Zhou, Xiaoqing Zheng, Xuanjing Huang |
| 2023 | IJCNN | A Multiscale Dynamic Temporal Convolution Network For Continuous Dimensional Emotion Recognition. | Min Hu, Jialu Sun, Xiaohua Wang, Ning An |
| 2023 | IECON | Precise Modeling for the Inductance of Rounded Rectangular Coils in Wireless Power Transfer Systems. | Yongbin Jiang, Yue Wu, Yaohua Li, Ziheng Xiao, Ning Wang, Min Wu, Xiaohua Wang, Yi Tang |
| 2023 | IECON | Precise Modeling of the Self-Inductance of Circular Coils with Deep Neural Networks. | Yue Wu, Yongbin Jiang, Yaohua Li, Chang Wang, Min Wu, Ning Wang, Xiaohua Wang, Yi Tang |
| 2022 | CVPR | Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. | Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Hongsheng Li, Xiaohua Wang, Jifeng Dai |
| 2021 | CVPR | Complementary Relation Contrastive Distillation. | Jinguo Zhu, Shixiang Tang, Dapeng Chen, Shijie Yu, Yakun Liu, Mingzhe Rong, Aijun Yang, Xiaohua Wang |
| 2019 | IECON | Quantitative Detection of Mixed Gases by Sensor Array Using C-Means Clustering and Artificial Neural Network. | Jifeng Chu, Mingzhe Rong, Weijuan Li, Xu Yang, Heng Yu, Dawei Wang, Chengyu Fan, Aijun Yang, Yunjia Li, Xiaohua Wang |
| 2019 | MMM | Two-Level Attention with Multi-task Learning for Facial Emotion Estimation. | Xiaohua Wang, Muzi Peng, Lijuan Pan, Min Hu, Chunhua Jin, Fuji Ren |
| 2018 | ICNC | Depth Completion with Edge Optimization for Depth Maps from Lidar. | Chengxiong Jin, Xiaohua Wang, Zhonghua Miao, Shiwei Ma |
| 2017 | QRS | Hierarchical Combination Design Method of Test Cases Based on Conditional Constraints. | Jianmin Wang, Xiaohua Wang, Yunyun Ma, Jinbo Wang |
| 2016 | ICARCV | Optimal impulse control for cow parturient paresis treatment design. | Xiaohua Wang, Yueyue Xing, Zhonghua Miao, S. N. Balakrishnan |
| 2015 | ICNC | Mechanical life prognosis of high voltage circuit breakers based on support vector machine. | Xin Zhang, Ronghui Huang, Senjing Yao, Gaoyang Li, Linlin Zhong, Xiaohua Wang |
| 2013 | KSEM | The Category Structure in Wikipedia: To Analyze and Know Its Quality Using K-Core Decomposition. | Qishun Wang, Xiaohua Wang, Zhiqun Chen |
| 2012 | ICARCV | Linear impulsive system optimization using adaptive dynamic programming. | Xiaohua Wang, Wenzhong Luo, S. N. Balakrishnan |
| 2011 | ICNC | Semantic orientation calculation of words with different part of speech. | Ming Xia, Yun Sha, Xiaohua Wang, Huina Jiang |
| 2010 | ISKE | The aggregation method of induction motors with distribution network. | Hongbin Zhang, Qiyu Liu, Xiaohua Wang |
| 2009 | GRC | Non-synchronous signal monitoring based on simulated annealing neural network. | Tianzan Li, Xiaohua Wang |
| 2008 | IJCNN | Optimal controller synthesis of variable-time impulsive problems using single network adaptive critics. | Xiaohua Wang, S. N. Balakrishnan |
| 2007 | ACC | Optimal Neuro-controller Synthesis for Impulse-Driven System. | Xiaohua Wang, S. N. Balakrishnan |
| 2007 | ISNN | Neural Network Based High Accuracy Frequency Harmonic Analysis in Power System. | Xiaohua Wang, Yigang He, Ying Long |
| 2007 | ISNN | Neural Network Approach for Designing One- and Two-Dimensional Quasi-Equiripple FIR Digital Filters. | Xiaohua Wang, Yigang He, Yulou Peng |
| 2006 | ICNC | Global Numerical Optimization Based on Small-World Networks. | Xiaohua Wang, Xinyan Yang, Tiantian Su |
| 2006 | IGARSS | The Research on the Multi-source Data Assisting Remote Sensing Image Management and Issuing based on the Network. | Xiaohua Wang, Shudong Wang, Xiuli Cao, Qiu Li |
| 2006 | WSC | Module-based modeling of production-distribution systems considering shipment consolidation. | Xiaohua Wang, Soemon Takakuwa |
| 2005 | IGARSS | Study on remote sensing image metadata management and issue. | Xiaohua Wang, Shudong Wang, Wang Wei |
| 2005 | ISNN | Binocular 3D Reconstruction Based on Neural Network. | Mingxing Lin, Yongrui Zhao, Zhiguang Guan, Fenghua Ding, Qingxin Xu, Xiaohua Wang |
| 2004 | ICRA | Multisensory Gripper and Local Autonomy of Extravehicular Mobile Robot. | Yang Liu, Tao Mei, Xiaohua Wang, Bin Liang |
| 2004 | ICRA | Grasp Characteristics of an Underactuated Robot Hand. | Minzhou Luo, Tao Mei, Xiaohua Wang, Yong Yu |
| 2004 | IROS | Dynamic analysis and experiment of a 3mm swimming microrobot. | Yi Zhang, Qimin Wang, Peiqiang Zhang, Xiaohua Wang, Tao Mei |
| 2003 | IJCNN | Stock market prediction using neural networks: Does trading volume help in short-term prediction? | Xiaohua Wang, Paul Kang Hoh Phua, Weidong Lin |